The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
A review on optimization methods applied in energy-efficient building geometry and envelope design
Abstract
Abstract Building envelope parameters and geometric configurations can considerably influence the building energy performance. However, determining the best trade-offs of different building shape and envelope configurations to yield near-optimal design alternatives with respect to their energy performance is not a straight-forward task. Consequently, different methods have been utilized to optimize building envelope parameters and geometric configurations to achieve better energy performance. The objective of this paper is to provide an extensive review of the optimization methods and their application in energy-efficient architectural building design to better identify the potentials and applicability of different optimization methods. This paper reviews the optimization research, where building envelope parameters and geometric configurations are considered remarkably as the optimization independent variable(s) and building energy consumption/demand is included as an objective in the optimization process. The associated derivative-free and derivative-based optimization methods and their application in energy-efficient building design are included in this review. In addition, decision-making approaches are discussed for multi-objective optimizations. Current optimization tools are demonstrated. Finally, crucial considerations, including limitations and suggestions for the related future studies are concluded.
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Cites
A fast and elitist multiobjective genetic algorithm: NSGA-II
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The impact of greening systems on building energy performance: A literature review
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Cited by
Assessing the impact of climate change on building heating and cooling energy demand in Canada
Berardi, U., & Jafarpur, P. (2020) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2019.109681 · Cited by 353
Rahif, R., Kazemi, M., & Attia, S. (2023) · Energy and Buildings · doi:10.1016/j.enbuild.2023.112998 · Cited by 51
Amiri, A. S., Jemtrud, M., & Chung, D. (2026) · Energy Conversion and Management · doi:10.1016/j.enconman.2025.121013 · Cited by 3
Metadata
- Authors
- Kheiri, F.
- Venue
- Renewable and Sustainable Energy Reviews
- Publisher
- Elsevier BV
- Published
- 2018-09
- Volume
- 92
- Pages
- 897-920
- ISSN
- 1364-0321 (ISSN-L)
- OpenAlex
- W2804045646
- Cited by
- 400
- References
- 10
- FWCI
- 26.80
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.